{"id":"W4411618381","doi":"10.51847/wdp4ehc6a9","title":"10.51847/wDp4EHC6a9","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Investment (military); Life insurance; Actuarial science; Business; Insurance premium; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002138211,0.0001191092,0.0002376958,0.0001255046,0.00008551258,0.00004937217,0.0002248968,0.00005349848,0.9821593],"category_scores_gemma":[0.00002140411,0.0001461891,0.0000796347,0.0002565655,0.00001863154,0.0001300324,0.00003318569,0.00006759734,0.9953561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004613325,"about_ca_system_score_gemma":0.000005535538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008106304,"about_ca_topic_score_gemma":3.428322e-7,"domain_scores_codex":[0.9990584,0.000004684325,0.0003161247,0.0002945633,0.00003139184,0.0002947921],"domain_scores_gemma":[0.9995295,0.000009548023,0.00005784496,0.00031418,0.00001321176,0.00007564636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004234285,0.00006204648,0.00001955596,0.000006399618,0.00001713977,0.000005675512,0.00003217562,0.0001424325,9.08039e-7,0.00250458,0.04407033,0.9530964],"study_design_scores_gemma":[0.0001989331,0.0000782536,0.001803993,0.000005452209,0.000002421297,7.036122e-7,5.239453e-7,0.0001814351,0.00000256192,0.0003376926,0.9971855,0.0002025841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002891588,0.000270051,0.00001545938,0.0003786721,0.00001118933,0.0001815384,0.00005398094,0.00006799868,0.9961295],"genre_scores_gemma":[0.004434444,0.000008477275,0.0001395811,0.0002579094,0.0001580946,0.00002922017,0.00001039956,0.00002198204,0.9949399],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9531151,"threshold_uncertainty_score":0.5961419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082902187438192,"score_gpt":0.1649342210369086,"score_spread":0.1541051991625266,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}